At a Glance
- Tasks: Join our Data Science team to tackle real-world challenges and build impactful solutions.
- Company: Revolut, a leading fintech platform transforming how people manage their money.
- Benefits: Paid internship, hands-on experience, mentorship from industry experts, and potential graduate programme offer.
- Other info: Dynamic, fast-paced environment with opportunities for professional growth and collaboration.
- Why this job: Gain invaluable experience in data science while working on exciting projects that shape the future.
- Qualifications: Studying computer science, maths, or related field; strong Python and SQL skills required.
The predicted salary is between 18200 - 18200 £ per year.
About Revolut
Revolut is a fintech platform aimed at giving people greater control and visibility over their money. Since 2015, we have expanded our product suite to include spending, saving, investing, exchanging, travelling, and more, serving over 75 million customers worldwide.
About the Internship Programme
The Programme lasts 8–10 paid weeks during the summer and offers students a chance to work on real projects, tackle meaningful challenges, and learn alongside industry experts. Top performers may receive an offer for the following year’s Graduate Programme.
About the role
As a Data Science Intern, you will work within the Data Science team to deliver scalable solutions that drive product decisions and improve customer experience. You will collaborate directly with product teams, uncover insights, and write production‑ready code.
What you’ll be doing
- Participate in a hands‑on bootcamp and work on projects across multiple teams.
- Build analytical tools and machine‑learning models, including dashboards and ETLs, to support product launches.
- Improve visibility in user sign‑up flows and operational funnels.
- Enhance and maintain data infrastructure (ETLs, LookML) for reliable data access.
- Collaborate with Operations, Growth, and Product teams to refine features and uncover insights.
- Support decision‑making with ad‑hoc analysis on topics such as interest‑rate sensitivity, incentive profitability, and conversion rates.
- Attend weekly meetings to align with team priorities and develop professionally.
- Manage tasks, track progress, and communicate key outcomes to global teams.
- Receive regular feedback to guide your learning journey.
What you’ll need
- Penultimate year of a bachelor’s or master’s degree in computer science, maths, physics, or a related field (graduating in 2028).
- Strong Python and SQL programming skills.
- Experience or interest in analytics engineering, product analytics, data science, or ML engineering.
- Solid foundation in mathematics and statistics.
- Proactive, results‑driven mindset.
- Fluency in English.
- Excellent communication, organisational, and problem‑solving skills.
- Ability to thrive in a fast‑paced, diverse team environment.
- Full‑time availability for summer 2027.
- Expected to attend a Revolut office in your country at least three days per week (hybrid role).
Compensation range
Krakow and Poland: PLN 7,600 – PLN 7,600 gross monthly. Other locations: compensation will be discussed during the interview process and determined based on qualifications, skills, and experience.
Internship Programme 2027: Data Scientist and Analyst employer: Revolut Careers and Employment
Revolut is an exceptional employer that fosters a dynamic and innovative work culture, providing interns with the opportunity to engage in real-world projects while learning from industry experts. With a focus on professional growth, the internship programme not only offers competitive compensation but also the potential for future employment within the Graduate Programme for top performers. Located in Krakow, interns benefit from a vibrant city atmosphere and a collaborative environment that encourages creativity and teamwork.
Contact Details:
Revolut Careers and Employment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Internship Programme 2027: Data Scientist and Analyst
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Internship Programme 2027: Data Scientist and Analyst
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Revolut Careers and Employment will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Revolut Careers and Employment
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Revolut Careers and Employment.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Revolut Careers and Employment that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
